I am currently working with a problem recognizing multiple color labels of a urinalysis strip.
There are 10 different chemical indicators (The first one on the left is just for color correction) on the strip to test different aspects of urine. Each indicator has 3 to 7 colors which represent the reading of it.
So it’s a multilabels-multiclasses problem.
Instead of training 10 models to recognize the color of each of the indicators, is there any better solution?
I would be grateful for any suggestion! Thank you!